{"id":"W1965946127","doi":"10.2135/cropsci2008.01.0046","title":"The Utility of Molecular Markers for Barley Net Blotch Resistance across Geographic Regions","year":2008,"lang":"en","type":"article","venue":"Crop Science","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Biology; Germplasm; Hordeum vulgare; Crop; Population; Genotype; Plant breeding; Agronomy; Marker-assisted selection; Cultivar; Resistance (ecology); Seedling; Biotechnology; Poaceae; Genetic marker; Molecular marker; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007735977,0.00008290236,0.0001068362,0.000007291111,0.001489201,0.00004515165,0.0006172301,0.00004694809,0.00001553865],"category_scores_gemma":[0.0001219855,0.00002827293,0.00009585034,0.0006220339,0.002346185,0.00005071986,0.00008679011,0.00005782938,0.00000161224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004013403,"about_ca_system_score_gemma":0.00003178424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006087207,"about_ca_topic_score_gemma":0.0004680715,"domain_scores_codex":[0.9988625,0.00003633362,0.0001723094,0.0003010326,0.0002203586,0.0004074499],"domain_scores_gemma":[0.9993514,0.0001595026,0.00007045247,0.0001366416,0.0001968838,0.00008512461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009556072,0.0000538782,0.01537376,0.00000705208,0.000005016131,0.000007006368,0.0001681902,0.000002732755,0.968333,0.002004458,0.002437865,0.01151148],"study_design_scores_gemma":[0.0001810184,0.0002938055,0.8743663,0.00001576234,0.000008211547,0.00002113213,0.0003118344,0.0001749125,0.06554335,0.005904559,0.05295207,0.0002270729],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962836,0.000812302,0.00005696553,0.001219464,0.0001422453,0.0001847614,0.00004411379,0.00001366816,0.001242905],"genre_scores_gemma":[0.999002,0.0002505551,0.0002072771,0.0001017214,0.00003589859,0.00001557543,0.000003531986,5.082675e-7,0.0003829565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9027897,"threshold_uncertainty_score":0.9998107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542100769093473,"score_gpt":0.2525503395756429,"score_spread":0.2271293318847082,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}